| Key | Action |
|---|---|
| s | Nodes glow :D |
| c | remove glow |
| p | Print mode - white backgrounds |
| d | Display mode - black backgrounds |
| z | Turn off gravity |
| m | Spacious layout |
| e | Tight layout |
| f | Freeze layout |
| x | Unfreeze all nodes |
[6]
48
adaptive
PyclusteringXMeans(initial_centers=[array([1.00000000e+01, 1.20000000e+01, 9.08948192e-01, 3.87231810e-02,
3.45368960e-02, 1.64835165e-01, 8.70860927e-01, 1.29139073e-01,
4.49285785e-01, 1.20000000e+01, 1.00000000e+01, 5.55280487e-01,
5.41990147e-01, 4.64979754e-01, 4.18910900e-03]),
array([2.30000000e+01, 4.80000000e+01, 9.30674260e-02, 3.38081671e-01,
1.27255461e-01, 4.44881890e-01, 3.92624729e-01, 6.07375271e-01,
2.32892097e-01, 4.80000000e+01, 2.30000000e+01, 6.57608416e-01,
8.75815073e-01, 4.27516143e-01, 3.68066160e-02])])
None
1
619
1509
5173
2056
precinct, ward, HVAP_pct, WVAP_pct, BVAP_pct, EMAN_G15_pct, RO_GARCIA_G15_pct, RO_EMAN_G15_pct, normalized_log_area, WARD, PRECINCT, normalized_centroid_x, normalized_centroid_y, female_pct, veteran_pct
mean